Startseite Peristaltic thrusting of a thermal-viscosity nanofluid through a resilient vertical pipe
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Peristaltic thrusting of a thermal-viscosity nanofluid through a resilient vertical pipe

  • Ramzy M. Abumandour ORCID logo , Islam M. Eldesoky , Mohamed H. Kamel , Mohamed M. Ahmed und Sara I. Abdelsalam ORCID logo EMAIL logo
Veröffentlicht/Copyright: 3. Juli 2020
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Zeitschrift für Naturforschung A
Aus der Zeitschrift Zeitschrift für Naturforschung A Band 75 Heft 8

Abstract

In the article, the effects of the thermal viscosity and magnetohydrodynamic on the peristalsis of nanofluid are analyzed. The dominant neutralization is deduced through long wavelength approximation. The analytical solution of velocity and temperature is extracted by using steady perturbation. The pressure gradient and friction forces are obtained. Numerical results are calculated and contrasted with the debated theoretical results. These results are calculated for various values of Hartmann number, variable viscosity parameter and amplitude ratio. It is observed that the pressure gradient is reduced with an increase in the thermal viscosity parameter and that the Hartmann number enhances the pressure difference.

Keywords: heat transfer; MHD; nanofluid; peristalsis; variable-viscosity

1 Introduction

Many researches deal with the fluid viscosity as a constant value for the sake of simplicity. This assumption is not accepted in real life situations. Thus, the effect of temperature and pressure on the coefficient of viscosity for actual fluids must be taken into consideration. The mutation in viscosity due to thermal change is large for abundant liquids such as water, oils, and blood. Viscosity variance is usually very small because of the pressure difference, thus it can be neglected [1], [2]. Actually, there is a non-uniform thermal distribution in many thermal transport operations. When there is a large thermal gradient in the system, the fluid viscosity may obviously change. Therefore, the influence of temperature on viscosity in thermal transport processes should be studied [3], [4], [5], [6], [7].

The variable-viscosity models are important along with peristalsis and thermal viscosity that has serious important characteristics in certain physiological and industrial materials. Peristalsis of power-law fluids with variable consistency was presented by Shukla and Gupta [8]. It was noticed that when the pressure drops, flow rate gets high for most of the peristaltic wave due to the enhancement in the pseudo-plasticity of the fluid. Furthermore, it was noticed that the wall friction gets diminished as the uniformity rebated. El Shamy et al. [9] analyzed the effect of thermal viscosity and an incorporated endoscopy on peristalsis by using perturbation expansions. It was noticed that with raising viscosity, the pressure rise is diminished while it gets promoted with growing the wave number and amplitude ratio.

For a non-uniform tube, the effect of peristalsis and thermal viscosity was analyzed by Srivastava et al. [10]. It was noticed that for a null flow rate, the pressure difference is reduced with a decrease in the fluid viscosity, but at a definite flow rate, the pressure rise is independent of the viscosity variation. It was also found that beyond this critical flow rate, raising the viscosity implies to an increase in the pressure difference. More investigations of thermal viscosity with peristalsis took place such the one done by Khan et al. [11] for diagonal pumping of non-Newtonian fluids.

The interaction between the thermal effect and peristalsis is widely used in many applications through the consideration of the sensitivity of thermal viscosity [12], [13]. The effect of magnetohydrodynamics and wall properties on the peristaltic transport of a Jeffrey nanofluid in channel was studied [14]. The authors investigated the analytical solutions for the stream function and the temperature. For both Jeffrey and Newtonian fluids, the effects of some important parameters were investigated on the physical quantities of the flow through the graphs. It was found that for the Jeffrey fluid, the flow rate and thermal effect are lower than that of the Newtonian fluid. It was found that the higher the values of the nanoparticle concentration, the lower the values of the velocity and temperature.

The combination between the electrical conductivity of the nanoparticles and the conventional base fluid through the effect of magnetic force with heat transfer over convectively heated surfaces is important in many engineering and industrial applications [15], [16], [17], [18], [19]. Magnetohydrodynamics represent those phenomena where in an electrically conducting fluid, the electric current density (Ι) in the moving conductive fluid can be produced by a magnetic field. Thus, the flow is considered to be axisymmetric and a uniform magnetic field is applied in the transverse direction to the flow [20], [21], [22], [23], [24]. The non-dimensional problem is formulated in the wave frame under the long wavelength and low Reynolds number approximations. For a non-uniform porous channel, the effect of elasticity, nanoparticle concentration, and Joule heating on the peristalsis of flow have been presented and compared with those of a uniform channel [25]. Results were presented for the flows through uniform and non-uniform models with various parameters. For the uniform channel, the fluid velocity was shown to be lower than that of the diverging channel. It was observed that for the uniform channel, fluid velocity is higher than that of the non-uniform channel.

Because of the enormous implementations in medicine and engineering, nanofluid motion through channels/tubes has attracted appreciable attention. For the sake of improvement of the thermal physical properties of fluids, nanoparticles are suspended in these fluids. Various materials are used in order to form nanoparticles, such as metals (Au, Ag, Fe, Al, Cu), nitride ceramics (SiN, AlN), carbide ceramics (SiC, tiC), oxide ceramics (CuO, Al2O3, TiO2), and carbon nanotubes and semiconductors. Recently, nanoparticle core–polymer shell composites and alloyed nanoparticles are used as nanoparticles. Most solids have a great thermophysical properties compared with conventional thermal effect of fluids such as water, oil, and ethylene glycol. The viscosity, thermal conductivity, thermal diffusivity, and convective heat transfer coefficients of these fluids are improved by its nanoparticles [26], [27], [28], [29], [30], [31]. The influence of nanoparticles on peristalsis in presence of magnetohydrodynamics has been analyzed [32]. It was noticed that, energy, nanoparticle concentration, porosity and Grashof number (Gr) enhance the flow rate and thermal effect at the centerline of the cross-sectional area and decrease near the channel wall. The pressure gradient was noticed to decrease with increasing the Gr, energy, nanoparticle concentration, and porosity. Ferromagnetic nanofluid investigation for peristalsis in an elastic tube was illustrated by Akbar and Butt [33]. It was found that the variation in pressure gradient was due to the change in the Hartmann number. Also, it was found that the pressure gradient decreases with an increase in the Hartmann number, Darcy number, and Gr. It was observed that for pure water that the pressure gradient is lower than that of Cu–water. The electromagnetic forces enhance the velocity unlike the buoyancy forces. The thermal effect of pure water also was seen to be enhanced than that of Cu–water. Generally, there are many applications of nanofluids that encourage towards studying them, some of which, medicine (cancer medication, safer surgery by cooling, magnetic drug targeting); nanofluid coolant (electronics, vehicle and transformer); chemicals and materials and industry (textiles and printing, food and drink, oil and gas).

2 Mathematical formulation

Consider a nanofluid axisymmetric flow in a regular cylindrical pipe of radius Ro. The pipe wall is malleable upon which are enjoined sinusoidal peristaltic waves of limited amplitude traveling down its edge. The frame of the wall artery can be depicted as (See Figure 1):

(1)H′(z′, t′)=Ro+δ′ sin(2πλ(z′−cwt′))
Figure 1: Problem form.
Figure 1:

Problem form.

2.1 Mass equation

(2)1r′∂∂r′(r′u′)+∂∂z′(w′)=0.

2.2 Axial momentum

(3)ρnf[∂w′∂t′+u′∂w′∂r′+w′∂w′∂z′]=−∂p′∂z′+1r′(∂∂r((μnfμf)r′∂w′∂r′))+(ργ)nf(T′−To)

2.3 Radial momentum

(4)ρnf[∂u′∂t′+u′∂u′∂r′+w′∂u′∂z′]=−∂p′∂r′+2∂∂r′(μnf∂u′∂r′)+2μnfr′(∂u′∂r′−u′r′)+∂∂z′(μnf(∂u′∂r′+∂w′∂z′))

The energy equation can be expressed as [27]:

(5)(ρcp)nf[∂T′∂t′+u′∂T′∂r′+w′∂T′∂z′]=Knf[∂2T′∂r′2+1r′∂T′∂r′+∂2T′∂z′2]+D

The boundary conditions of nanofluid on the wall can be written as:

(6)w′=0, at r′=h(z′),
(7)∂w′∂r′=0, at r′=0,
(8)T′=T1, at r′=h(z′), (isothermal condition)
(9)∂T′∂r′=0, at r′=0, (adiabatic condition)

Introducing the following dimensionless variables

z=z′Lo, r=r′Ro, u=Lou′δuo, w=w′uo, Renf=ρfuoLoμf, δ=δ′Ro, δ∗=Roλ, p=Ro2μfuoLop′, S=DRo2(To−T1)Kf,ε=RoLo,θ=T′−T1To−T1,Gr=g(ργ)fRo2(To−T1)uoμf,

3 Solution method

Using the long wavelength approximation (δ∗≺≺1, ε≈O(1)) as assumed in Shapiro et al. [34], the equations describing the flow can be described as:

3.1 Reduced radial momentum equation

(10)∂p∂r=0, thusdpdz=∂p∂z

3.2 Reduced axial momentum equation

(11)(1−φ)2.5dpdz=1r∂∂r[e−αθr∂w∂r]+(1−φ)2.5(1−φ+φ(ργ)s(ργ)f)Grθ

3.3 Reduced energy equation

(12)(∂2θ∂r2+1r∂θ∂r)+SKfKnf=0.

3.4 The non-dimensional slip velocity and temperature conditions are

(13)w=0 at r=h(z)
(14)∂w∂r=0 at r=0,
(15)θ=0, at r=h(z),
(16)∂ θ∂ r=0, at r=0.

where h(z)=1+δ sin(2πz)

The expression for the temperature distribution (θ) can be extracted from the solution of Equation (12) subject to boundary conditions Equations (15) and (16) as follows

(17)θ(r, z)=SKf4Knf(h2−r2)

The expression for the velocity distribution (w) can be calculated as the solution of Equation (11) subject to boundary conditions Equations (13) and (14) as follows

(18)w(r,z)=(1−φ)2.5Gr(1−φ+φ(ργ)s(ργ)f)(n4(r2−h2)2+n5(r4−h4)4+n6(r6−h6)6)+(1−φ)2.5dpdz(n2(r2−h2)4−n3(r4−h4)8)

The volumetric flow rate can be obtained from the relation

(19)F=∫0h(z)(wr)dr, F=Q−12(1+δ22)

Thus, we can write down the pressure difference with the axial coordinates as

(20)dpdz=4F+(1−φ)2.5Gr(1−φ+φ(ργ)s(ργ)f)(n4h42+n5h63+n6h84)(1−φ)2.5(n3h66−n4h44)

The stream function can be obtained from the relation of the velocity as

(21)w=1r∂ψ∂rψ(z, r)=∫0hrw(z, r)dr

The expression of wall shear stress is computed as

(22)τw=∂w∂r|r=h=12h(1−φ)2.5dpdz[n2−n3h2]+(1−φ)2.5hGr(1−φ+φ(ργ)s(ργ)f)[n4+n5h2+n6h4]

where

n1=(1−φ+φ(ργ)s(ργ)f)S GrKf4Knf, n2=(1−φ)2.5n1h22, n3=−(1−φ)2.5n14,n4=(1−φ)2.52(1+Sαh2Kf4Knf), n5=−(1−φ)2.52(SαKf4Knf), n6=−n2(1+Sαh2Kf4Knf)n7=n1(1−φ)2.54(1+Sαh2Kf4Knf)+n2(SαKf4Knf), n8=−(1−φ)2.5n14(SαKf4Knf)

4 Results and discussions

  1. Validation of the problem

The theoretical solution and results for this analysis have been compared with Bintul Huda et al. [35]. In this study, the volumetric flow rate has been considered in Equation (23), however, Equation (24) was used in [35]. This variation affects the pressure gradient, flow rate and temperature.

(23)F=2Q−(1+δ22)
(24)F=Q−12(1+δ22)

Velocity profiles for different solid with water at (Q = 0.5525, S = 2, Gr = 2, α = 0.3, δ = 0.1, φ = 0.004)

  1. Mathematical results

Figures 2 and 3 represent the mean velocity distribution w(r) with variations in nanoparticle concentration (φ) and heat source parameter (S). Significant elevation in mean velocity is obtained with decreasing the nanoparticle concentration (φ), as seen in Figure 2, where nanofluid is found to be harmonious to the lowest flow rate in comparison with pure fluid. Results present symmetric velocity variations through the tube cross-sectional area of the artery. This modality of attitude is promoted by enhancing the thermal effect (S) as seen in Figure 3. Maximum velocity is obtained for pure fluid while the minimum velocity is linked with nanofluids that successfully minimize flow rate.

Figure 2: Velocity profiles with different nanoparticles concentration at (Q = 0.1, S = 2, Gr = 2, α = 0.3, δ = 0.2).
Figure 2:

Velocity profiles with different nanoparticles concentration at (Q = 0.1, S = 2, Gr = 2, α = 0.3, δ = 0.2).

Figure 3: Velocity profiles with different heat source at (Q = 0.1, Gr = 2, α = 0.3, δ = 0.2, φ = 0.004).
Figure 3:

Velocity profiles with different heat source at (Q = 0.1, Gr = 2, α = 0.3, δ = 0.2, φ = 0.004).

The distribution of velocity with the flow rate is analyzed in Figure 4 where an increase in the mean flow rate reduces the flow velocity. Figure 5 is shows that the gravitational force reduces the flow velocity. When the temperature is applied on the velocity profile, the velocity of the flow is decreased with an increase in the viscosity (α), as seen in Figures 6 and 7.

Figure 4: Velocity profiles with different flow rate at (φ = 0.004, S = 2, Gr = 2, α = 0.3, δ = 0.2).
Figure 4:

Velocity profiles with different flow rate at (φ = 0.004, S = 2, Gr = 2, α = 0.3, δ = 0.2).

Figure 5: Velocity profiles with different Gr at (Q = 0.1, φ = 0.004, S = 2, α = 0.3, δ = 0.2).
Figure 5:

Velocity profiles with different Gr at (Q = 0.1, φ = 0.004, S = 2, α = 0.3, δ = 0.2).

Figure 6: Velocity profiles with different α at (Q = 0.1, φ = 0.004, S = 2, δ = 0.2, Gr = 2).
Figure 6:

Velocity profiles with different α at (Q = 0.1, φ = 0.004, S = 2, δ = 0.2, Gr = 2).

Figure 7: Velocity profiles with different δ at (Q = 0.1, φ = 0.004, S = 2, α = 0.3, Gr = 2).
Figure 7:

Velocity profiles with different δ at (Q = 0.1, φ = 0.004, S = 2, α = 0.3, Gr = 2).

The thermal distributions with different nanoparticle concentration are signified in Figure 8, where nanofluid attains the lowest temperatures compared to pure fluid. With increasing nanoparticle concentration (φ), the demand influence of cooling the pumping fluid is accomplished. Subsequently, for thermal patterns in peristalsis of nanofluid pumping, the preferable cooling execution is related with nanofluids. In results, through the uniform cross-sectional pipe, parabolical variations are noticed and extreme temperature permanently occur at the pipe axis of symmetry. Considerable thermal increase is obtained with raising the heat absorption (S) as seen in Figure 9. The highest temperature is acquired without nanoparticles where the lowest temperatures are connected with nanofluid. The peristaltic motion of the artery reduces the flow temperature, Figure 10.

Figure 8: Temperature profiles with different nanoparticles concentration at (δ = 0.2, S = 2).
Figure 8:

Temperature profiles with different nanoparticles concentration at (δ = 0.2, S = 2).

Figure 9: Temperature profiles with different source heat at (φ = 0.04, δ = 0.2).
Figure 9:

Temperature profiles with different source heat at (φ = 0.04, δ = 0.2).

Figure 10: Temperature profiles with different δ at (φ = 0.04, S = 2).
Figure 10:

Temperature profiles with different δ at (φ = 0.04, S = 2).

Figures 11–15 show premeditation into the restraint in pressure gradient (ΔP) with different locations (z), thermal variable (S), nanoparticle concentration (φ), variable viscosity parameter (α) and Gr. Pressure difference diminishes with a growing the thermal energy (S) and the variable viscosity parameter (α). Linear relationship between the pressure difference and the mean flow rate (ΔP, Q) through various parameters has been noticed. For higher values of thermal source (S), the pressure difference rises at the range of flow rate, i. e. (1 < Q < 2). Pressure difference is improved with Gr and nanoparticle concentration (φ).

Figure 11: Pressure flow rate profiles with different positions at (Gr = 2, φ = 0.004, α = 0.3, S = 2, δ = 0.1).
Figure 11:

Pressure flow rate profiles with different positions at (Gr = 2, φ = 0.004, α = 0.3, S = 2, δ = 0.1).

Figure 12: Pressure flow rate profiles with different heat source at (Gr = 2, φ = 0.004, α = 0.3, δ = 0.1).
Figure 12:

Pressure flow rate profiles with different heat source at (Gr = 2, φ = 0.004, α = 0.3, δ = 0.1).

Figure 13: Pressure flow rate profiles with different Gr at (φ = 0.004, α = 0.3, S = 2, δ = 0.1).
Figure 13:

Pressure flow rate profiles with different Gr at (φ = 0.004, α = 0.3, S = 2, δ = 0.1).

Figure 14: Pressure flow rate profiles with α at (Gr = 2, φ = 0.004, S = 2, δ = 0.1).
Figure 14:

Pressure flow rate profiles with α at (Gr = 2, φ = 0.004, S = 2, δ = 0.1).

Figure 15: Pressure flow rate profiles with different nanoparticles concentration at (Gr = 2, α = 0.3, S = 2, δ = 0.1).
Figure 15:

Pressure flow rate profiles with different nanoparticles concentration at (Gr = 2, α = 0.3, S = 2, δ = 0.1).

Figures 16–21 investigate streamlines conceptions for the effect of several variables in the peristaltic phenomenon. This declaration a preferable estimation of the influence of nanofluid which is an original characteristic sine-related with the peristalsis. Figure 16 shows Gr effect on the motion of nanofluid. The scrambled streamlines decrease with Gr growing in all pure fluid and nanofluids cases. The continuity motion of the nanofluid is analyzed in Figure 17. Figure 18 shows that the presence of nanoparticles concentration (φ) decreases the motion of nanofluid. The influence of thermal parameter (S) on assembled streamlines for pure fluid and nanofluid is illustrated in Figure 19. The assembled streamlines rise with enhancing the heat absorption (S). Peristaltic motion property is signified in Figure 20. The crowded streamlines phenomenon with different viscosity parameter (α) is analyzed in Figure 21, where the crowded streamlines rises with an increment in the viscosity parameter (α) i. e. with lowering viscosity of nanofluid.

Figure 16: Streamlines with Gr at (Q = 0.1, φ = 0.004, S = 2, δ = 0.2, α = 0.3).
Figure 16:

Streamlines with Gr at (Q = 0.1, φ = 0.004, S = 2, δ = 0.2, α = 0.3).

Figure 17: Streamlines with flow rate at (Gr = 2, φ = 0.004, S = 2, δ = 0.2, α = 0.3).
Figure 17:

Streamlines with flow rate at (Gr = 2, φ = 0.004, S = 2, δ = 0.2, α = 0.3).

Figure 18: Streamlines with nanoparticles concentration (φ) at (Gr = 2, Q = 0.1, S = 2, δ = 0.2, α = 0.3).
Figure 18:

Streamlines with nanoparticles concentration (φ) at (Gr = 2, Q = 0.1, S = 2, δ = 0.2, α = 0.3).

Figure 19: Streamlines with heat source at (φ = 0.004, Gr = 2, Q = 0.1, δ = 0.2, α = 0.3).
Figure 19:

Streamlines with heat source at (φ = 0.004, Gr = 2, Q = 0.1, δ = 0.2, α = 0.3).

Figure 20: Streamlines with amplitude ratio at (S = 2, φ = 0.004, Gr = 2, Q = 0.1, α = 0.3).
Figure 20:

Streamlines with amplitude ratio at (S = 2, φ = 0.004, Gr = 2, Q = 0.1, α = 0.3).

Figure 21: Streamlines with variable viscosity parameter at (S = 2, δ = 0.2, φ = 0.004, Gr = 2, Q = 0.1).
Figure 21:

Streamlines with variable viscosity parameter at (S = 2, δ = 0.2, φ = 0.004, Gr = 2, Q = 0.1).

The influence of nanoparticles enhances flow rate and herewith increases the wall shear stress. At the entrance of the pipe, shear stress begins reducing till extreme contraction is attained and subsequently the shear stress increases to the termination of the constriction through the range of wave length. This behavior is also displayed for sequent zones. It is refined until the outlet of the pipe. Identical modalities are supervised in all of figures. The results show that unlike the behavior of shear stress with flow rate (Q), it is high with raising thermal absorption (S), nanoparticles concentration (φ), variable viscosity parameter (α), viscosity parameter (α) and amplitude (δ). The flow is increased at the pipe wall with increasing the thermal sucking. This tendency is actually regular with the previous calculations approaching the axial flow rate and is also close to different investigations of nanofluid peristaltic waves, see Akbar and Nadeem [2] (See Figures 22–27).

Figure 22: Wall shear stress with heat source at (α = 0.3, δ = 0.1, φ = 0.004, Gr = 2, Q = 0.5).
Figure 22:

Wall shear stress with heat source at (α = 0.3, δ = 0.1, φ = 0.004, Gr = 2, Q = 0.5).

Figure 23: Wall shear stress with nanofluid concentration at (α = 0.3, δ = 0.1, S = 2, Gr = 2, Q = 0.5).
Figure 23:

Wall shear stress with nanofluid concentration at (α = 0.3, δ = 0.1, S = 2, Gr = 2, Q = 0.5).

Figure 24: Wall shear stress with flow rate at (φ = 0.004, α = 0.3, δ = 0.1, S = 2, Gr = 2).
Figure 24:

Wall shear stress with flow rate at (φ = 0.004, α = 0.3, δ = 0.1, S = 2, Gr = 2).

Figure 25: Wall shear stress with variable viscosity parameter at (φ = 0.004, Q = 0.5, δ = 0.1, S = 2, Gr = 2).
Figure 25:

Wall shear stress with variable viscosity parameter at (φ = 0.004, Q = 0.5, δ = 0.1, S = 2, Gr = 2).

Figure 26: Wall shear stress with gravity at (φ = 0.004, Q = 0.5, δ = 0.1, S = 2, α = 0.3).
Figure 26:

Wall shear stress with gravity at (φ = 0.004, Q = 0.5, δ = 0.1, S = 2, α = 0.3).

Figure 27: Wall shear stress with amplitude at (φ = 0.004, Q = 0.5, Gr = 2, S = 2, α = 0.3).
Figure 27:

Wall shear stress with amplitude at (φ = 0.004, Q = 0.5, Gr = 2, S = 2, α = 0.3).

Corresponding author: Sara I. Abdelsalam, Basic Science, Faculty of Engineering, The British University in Egypt, Al-Shorouk City, Cairo, 11837, Egypt, E-mail: , ,

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

Nomenclature

SymbolDefinitionUnit
r׳,z׳Polar coordinatescm
u׳,w׳Velocity componentscm/s
CpSpecific heat at constant pressureJoule/kg.K
TTemperatureK
ToAmbient temperatureK
βoConstant applied magnetic fieldTesla (T)
p′PressureN/cm2
KThermal conductivityW/(m·K)
ΨStream functioncm2/s
θDimensionless temperatureDimensionless
μCoefficient of dynamic viscosityPa.s
σElectrical conductivitySimens/cm
ρDenistyKg/m3
Re=ρfcwa/μoReynolds numberDimensionless
QMean flow rateDimensionless
HaHartmann numberDimensionless
FVolumetric flow rate in the wave framecm3/s
λWave lengthcm
t`Timesec
DSource term of heatJoule
SSource term of heatDimensionless
RoMain tube radiuscm
δ׳Amplitude of the peristaltic wavecm
δ=δ׳/RoAmplitude ratio in tubeDimensionless
δ*=Ro/λWave numberDimensionless
φNanoparticles concentrationDimensionless
Subscripts
fFluid
sParticle
nfNanofluid

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Received: 2020-02-21
Accepted: 2020-05-14
Published Online: 2020-07-03
Published in Print: 2020-08-27

© 2020 Walter de Gruyter GmbH, Berlin/Boston

Artikel in diesem Heft

  1. Frontmatter
  2. Dynamical Systems & Nonlinear Phenomena
  3. Nonlinear dynamics of ion-acoustic waves in quantum plasmas with exchange-correlation effects
  4. Dynamical properties of nonlinear ion-acoustic waves based on the nonlinear Schrödinger equation in a multi-pair nonextensive plasma
  5. Taming of the Hopf bifurcation in a driven El Niño model
  6. Exact force-free plasma equilibria with axial and with translational symmetries
  7. Initial-boundary value problems for the one-dimensional linear advection–dispersion equation with decay
  8. Hydrodynamics
  9. Peristaltic thrusting of a thermal-viscosity nanofluid through a resilient vertical pipe
https://doi.org/10.1515/zna-2020-0054
Schlagwörter für diesen Artikel
heat transfer; MHD; nanofluid; peristalsis; variable-viscosity

Artikel in diesem Heft

  1. Frontmatter
  2. Dynamical Systems & Nonlinear Phenomena
  3. Nonlinear dynamics of ion-acoustic waves in quantum plasmas with exchange-correlation effects
  4. Dynamical properties of nonlinear ion-acoustic waves based on the nonlinear Schrödinger equation in a multi-pair nonextensive plasma
  5. Taming of the Hopf bifurcation in a driven El Niño model
  6. Exact force-free plasma equilibria with axial and with translational symmetries
  7. Initial-boundary value problems for the one-dimensional linear advection–dispersion equation with decay
  8. Hydrodynamics
  9. Peristaltic thrusting of a thermal-viscosity nanofluid through a resilient vertical pipe
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